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Sánchez Pastor, Mª Sagrario 518 500 Ortiz Fernández, Mª Cruz 406 500 Sarabia Peinador, Luis Antonio 534 500 2017-03-14T08:49:10Z 2018-11-01T03:45:05Z 2016-11 http://hdl.handle.net/10259/4358 An algorithmic implementation is presented to deal with several responses in mixtures problems, without theoretical limits on the number of responses or on the factors to be blended. Also, constrained and unconstrained domains are handled, as well as domains with both mixtures and discrete variables. Besides, an alternative way of interpreting the results coming from the experimental design for mixtures is presented. It is based on the parallel coordinates plots for visualization in more than the usual three-dimensional Cartesian diagrams or the simplex mixture spaces for at most four experimental factors. Specifically, this is done in cases in which more than one experimental response should be handled, tackling the conflict by estimating trading-off solutions via the computation of the pareto-optimal front, which is fully explored with the parallel coordinates plots. The procedure is shown by two case-studies, taken from the literature. The first one deals with several factors in a constrained experimental domain when trying to optimize a detergent by taking into account two severely conflicting characteristics. The second one is about five chemical components blended with different dosage levels for getting a concrete strong enough, experimental results that are re-evaluated by posing a unique blocked design for analysing the data. The joint use of the pareto-optimal front for mixtures designs and the parallel coordinates plots for its visualization provide the researcher a deeper understanding of the problem under study to make accurate decisions. Spanish Ministerio de Economía y Competitividad through project CTQ2014- 53157-R, a national competitive project co-financed with European FEDER funds. application/pdf eng Elsevier Chemometrics and Intelligent Laboratory Systems. 2016, V. 158, p. 210–217 http://dx.doi.org/10.1016/j.chemolab.2016.09.007 Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess Mixtures designs Scheffé designs Pareto optimal front Genetic algorithms Parallel coordinates plot Chemistry Mathematics Química Matemáticas A useful tool for computation and interpretation of trading-off solutions through pareto-optimal front in the field of experimental designs for mixtures info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion CC-LICENSE license_rdf license_rdf application/rdf+xml; charset=utf-8 805 https://riubu.ubu.es/bitstream/10259/4358/8/license_rdf 4460e5956bc1d1639be9ae6146a50347 MD5 8 THUMBNAIL Sánchez-CILS_2016.pdf.jpg Sánchez-CILS_2016.pdf.jpg IM Thumbnail image/jpeg 4162 https://riubu.ubu.es/bitstream/10259/4358/7/S%c3%a1nchez-CILS_2016.pdf.jpg b7ea5ef282e61a69cfd61f15ec1ec76d MD5 7 ORIGINAL Sánchez-CILS_2016.pdf Sánchez-CILS_2016.pdf application/pdf 807148 https://riubu.ubu.es/bitstream/10259/4358/1/S%c3%a1nchez-CILS_2016.pdf 468e923194622c892be47069faf938d7 MD5 1 LICENSE license.txt license.txt text/plain; charset=utf-8 998 https://riubu.ubu.es/bitstream/10259/4358/5/license.txt aa90105e1c90a1b4fe810649aa967b7d MD5 5 TEXT Sánchez-CILS_2016.pdf.txt Sánchez-CILS_2016.pdf.txt Extracted text text/plain 49507 https://riubu.ubu.es/bitstream/10259/4358/6/S%c3%a1nchez-CILS_2016.pdf.txt 105a8426abe04981df49cf011a2f0e2f MD5 6 10259/4358 oai:riubu.ubu.es:10259/4358 2022-04-29 14:02:48.65 Repositorio Institucional de la Universidad de Burgos bubrep@ubu.es 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